Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification

Author:

Xiao Chenghong1ORCID,Yang Shuyuan1ORCID,Feng Zhixi1ORCID

Affiliation:

1. School of Artificial Intelligence, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation Team in Shaanxi Province of China

High-Performance Computing Platform of Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference28 articles.

1. Convolutional radio modulation recognition networks;o’shea;Proc Int Conf Eng Appl Neural Netw,2016

2. A Radio Signal Recognition Approach Based on Complex-Valued CNN and Self-Attention Mechanism

3. Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification

4. Fast deep learning for automatic modulation classification;ramjee;arXiv 1901 05850,2019

5. Quadruplet Convolution Neural Network With C3 Loss (C3-QCNN) for Signal Classification

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